Files
UmbraAudio/specs
B.D. Murphy 9bda553311 Add a speaker-review audit: is the attribution data fit for translation?
Runs after a reviewer finishes a book and answers the two questions that
gate the next stage:

  1. Are there utterances with no speaker?
  2. Now that speakers have been defined, renamed, merged or deleted, are
     there utterances that should change?

Read-only - it never edits the database, and a test asserts the files are
byte-identical afterwards. Output is a markdown table and a CSV, one row per
finding with chapter, utterance number and a text preview, so each item is
locatable rather than a count.

Deal Hunter, after the completed review (56 speakers, 0 still needing
review, 4319 utterances):

  - Dialogue with no speaker: 0. The 1803 speakerless rows are narration
    and scene breaks, which is correct and is reported as a number rather
    than silently dropped.
  - Utterances attributed to a deleted speaker: 0.
  - One speaker stored under two spellings: 6 rows across 3 speakers
    (narrator/Narrator, Kainda/Princess Kainda, Willamina Wake/Captain).
    All resolve to one voice so the audio is correct, but a per-speaker
    export would split them into six - caught before the translation stage,
    not after.
  - 6 speech-tag mismatches where the narration immediately before the line
    names a different speaker.
  - 10 dialogue rows voiced by the narrator: 9 are quoted labels ("Reactor.",
    "operations") that are correctly read by the narrator, 1 (ch28 utt46) is
    a real segmentation error. Classified advisory so the one real defect is
    not buried under nine false positives.

build_alias_map moved from scripts/qa_attribution.py into attribution_qa.py
so the CLI and the audit cannot disagree about what a speech tag resolves to;
qa_attribution output verified byte-identical.

13 new tests. Suite: 721 passed, 8 pre-existing.
2026-10-11 21:57:58 -07:00
..

UmbraAudio Specifications

Index of all specification documents for the UmbraAudio audiobook generation system.

Specifications

File Topic Description
00-project-overview.md Architecture Pipeline overview, tech stack, data layout
01-parsing.md Pass 1a EPUB, PDF, TXT, MD manuscript parsing
02-analysis.md Pass 1b BookNLP, character profiling, pronunciation
03-voice-design.md Pass 2 Per-character voice reference generation
04-mapping.md Pass 3 Text segmentation, speaker attribution, manifests
05-generation.md Pass 5 Audio generation, caching, retry, CUDA management
06-normalization-watermarking.md Post-gen Audio normalization, ACX compliance, Perth watermark
07-assembly-export.md Export M4B, MP3, WAV export via FFmpeg
08-database.md Database SQLite schema, entity relationships, CRUD API
09-web-review-ui.md Web UI FastAPI + HTMX review interface
10-cli-orchestrator.md CLI Click commands, full pipeline orchestration
11-configuration-dependencies.md Config Pydantic settings, dependencies, build system
12-quality.md Quality MOS, WER, consistency, ACX compliance
18-UmbraTrans.md Multilingual Meaning-preserving translation, target voices, and multilingual audiobook production
19-enterprise-control-plane.md Enterprise Multi-tenant projects, access control, artifact lineage, and commercial voice library
20-enterprise-database-integration.md Enterprise DB Shared-PostgreSQL contract, blockers, cutover phases P1-P4
21-umbra-system-nodes-tasks-and-changes.md System Worker nodes, task assignment, cross-product change management, UI topology
22-releases-and-the-publish-flag.md Release The publish flag, pinned artifact sets, post-publication change, and the Deal Hunter lesson
23-speaker-duplicate-detection.md Speakers Duplicate-speaker scan, approval-safe merging, and the crowd veto
24-analysis-quality-plan.md Analysis Why the ch6 speakers were missed, and a ranked plan to improve attribution

Quick Reference

Pipeline Passes

1a: Parse    → chapters table
1b: Analyze  → characters, pronunciation_guide
2:  Voices   → voice_ref WAVs
3:  Map      → manifests/*.json
4:  Test     → sample audio (optional)
5:  Generate → audio/*.wav, audio_normalized/*.wav
    Export   → export/*.m4b, *.mp3

Key Entry Points

Component File Class/Function
CLI cli.py main Click group
Pipeline orchestrator.py run_pipeline()
TTS voices/chatterbox.py ChatterboxEngine
Segmenter mapping/segmenter.py Segmenter
Generator generation/chapter.py ChapterGenerator
Normalizer assembly/normalize.py AudioNormalizer
Web UI web/__init__.py create_app()
Database database.py Database